Likun Gong

Uppsala University, Chinese Academy of Sciences

Papers

Total Citations

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About

Likun Gong is a pioneering researcher at the forefront of neuromorphic engineering and intelligent tactile perception. Their work centers on developing bio-inspired artificial synaptic devices that bridge the gap between mechanical sensing and neural computation. Gong’s major contributions include the creation of an intrinsically stretchable tribotronic mechanoplastic artificial synapse, a groundbreaking device that mimics biological synaptic plasticity through triboelectric potentials induced by mechanical stimulation. This innovation, detailed in their 2024 highly cited paper (9 citations), establishes a new paradigm for active, mechanically adjustable synaptic behavior in stretchable electronics. Building on this, Gong’s 2025 study on neuromorphic tactile perception introduces a triboelectric artificial synapse capable of material identification through adaptive learning, advancing intelligent robotics and automated inspection systems. With a total of 12 citations across their most influential works, Gong’s research is rapidly gaining recognition for its potential to revolutionize human-machine interfaces, soft robotics, and sensory prosthetics. Their work stands out for seamlessly integrating triboelectric nanogenerators with neuromorphic computing, offering a pathway toward energy-efficient, self-powered sensing systems that learn and adapt like the human nervous system.